📚LILA: Language-Informed Latent Actions
Language-Informed Latent Actions (LILA) is a framework for learning natural language interfaces in the context of human-robot collaboration under the shared autonomy paradigm.
https://bit.ly/31yRDVE
Language-Informed Latent Actions (LILA) is a framework for learning natural language interfaces in the context of human-robot collaboration under the shared autonomy paradigm.
https://bit.ly/31yRDVE
💡Training an object detector from scratch in PyTorch
In this tutorial, you'll learn how to train a custom object detector from scratch using PyTorch. Note that this lesson is part 2 of a 3-part series on advanced PyTorch techniques.
https://bit.ly/3EBIbQ0
In this tutorial, you'll learn how to train a custom object detector from scratch using PyTorch. Note that this lesson is part 2 of a 3-part series on advanced PyTorch techniques.
https://bit.ly/3EBIbQ0
PyImageSearch
Training an object detector from scratch in PyTorch - PyImageSearch
Learn to train an object detector using PyTorch and Python. The perfect guide for someone looking to try PyTorch for the first time or new to object detection.
📚Machine-in-the-Loop Rewriting for Creative Image Captioning
In this paper, the authors propose a rewriting model that modifies specified spans of text within the user's original draft to introduce descriptive and figurative elements locally in the text.
https://bit.ly/31QdyYI
In this paper, the authors propose a rewriting model that modifies specified spans of text within the user's original draft to introduce descriptive and figurative elements locally in the text.
https://bit.ly/31QdyYI
🔥Hello friends!
We hope that your week is going well so far. Data Phoenix team wants to remind you about our weekly newsletter which is coming, as always, tomorrow! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3lOxZfJ
We hope that your week is going well so far. Data Phoenix team wants to remind you about our weekly newsletter which is coming, as always, tomorrow! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3lOxZfJ
Data Phoenix
Data Phoenix is your best friend in learning and growing in the data world! We publish digest, organize events and help expand the frontiers of your knowledge in ML, CV, NLP, and other aspects of AI.
📌Orchestrate a Data Science Project in Python With Prefect
This step-by-step guide will teach you how you can use Prefect to optimize your DS workflow in a few lines of Python code, to increase efficiency in the long run.
https://bit.ly/33jdFwv
This step-by-step guide will teach you how you can use Prefect to optimize your DS workflow in a few lines of Python code, to increase efficiency in the long run.
https://bit.ly/33jdFwv
Medium
Orchestrate a Data Science Project in Python With Prefect
Optimize Your Data Science Workflow in a Few Lines of Code
⚡️Hello everyone!
Data Phoenix team is ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3dBnO9R
Data Phoenix team is ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3dBnO9R
Data Phoenix
Data Phoenix Digest - ISSUE 35
AI trends report, AWS re:Invent 2021, how to handle ML model drift in production, XGBoost vs LightGBM, DCGAN for Fashion-MNIST, Adobe Research at ICCV 2021, NVIDIA TAO, HyperStyle, EditGAN, Florence, videos, books, jobs, and more ...
⚡️Hello everyone!
We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) Senior CV Engineer at SoftServe (Odesa, Lviv, Kyiv, Remote)
https://bit.ly/3GqJdii
2) Summer Internship, Data Scientist at Spotify (London)
https://bit.ly/3pOC9p2
3) Machine Learning Engineer at Lyft (Kyiv)
https://bit.ly/31QBACS
4) Sr. Data Scientist at GoPro (San Mateo, Carlsbad)
https://bit.ly/31LhASc
5) Data Scientist at Snap (Odesa, Kyiv, Remote)
https://bit.ly/3lUQgb2
For other available positions click on the link 👉🏻
https://bit.ly/3yeuW5v
We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) Senior CV Engineer at SoftServe (Odesa, Lviv, Kyiv, Remote)
https://bit.ly/3GqJdii
2) Summer Internship, Data Scientist at Spotify (London)
https://bit.ly/3pOC9p2
3) Machine Learning Engineer at Lyft (Kyiv)
https://bit.ly/31QBACS
4) Sr. Data Scientist at GoPro (San Mateo, Carlsbad)
https://bit.ly/31LhASc
5) Data Scientist at Snap (Odesa, Kyiv, Remote)
https://bit.ly/3lUQgb2
For other available positions click on the link 👉🏻
https://bit.ly/3yeuW5v
📚How to handle ML model drift in production
In this Q&A, you'll learn what to do if you have a model in production, and the data is drifting. Eight awesome and detailed tips to help you solve the problem in the bud.
https://bit.ly/3DJRX1i
In this Q&A, you'll learn what to do if you have a model in production, and the data is drifting. Eight awesome and detailed tips to help you solve the problem in the bud.
https://bit.ly/3DJRX1i
Evidentlyai
"My data drifted. What's next?" How to handle ML model drift in production.
What can you do once you detect data drift for a production ML model? Here is an introductory overview of the possible steps.
🔥Hello friends!
We hope your Sunday is going great and you are ready for the upcoming week! But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3pNsMpA
We hope your Sunday is going great and you are ready for the upcoming week! But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3pNsMpA
📌HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
In this paper, Yuval Alaluf et al. propose HyperStyle, a hypernetwork that learns to modulate StyleGAN's weights to faithfully express a given image in editable regions of the latent space.
https://bit.ly/3oLRhUE
In this paper, Yuval Alaluf et al. propose HyperStyle, a hypernetwork that learns to modulate StyleGAN's weights to faithfully express a given image in editable regions of the latent space.
https://bit.ly/3oLRhUE
⚡️Hello, friends! Let’s start this week in a company of Tom Davenport, a world-renowned thought leader in all things IT.
Dr. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics.
He is also the author and co-author of 20 books and more than 200 articles. He is dedicated to helping organizations transform their management practices in digital business domains, such as artificial intelligence, analytics, and enterprise systems.
Over the course of 40 years, he has written or edited twenty books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D from Harvard University and has taught at the Harvard Business School, the University of Chicago, and the University of Texas at Austin.
https://bit.ly/30k3DKm
Dr. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics.
He is also the author and co-author of 20 books and more than 200 articles. He is dedicated to helping organizations transform their management practices in digital business domains, such as artificial intelligence, analytics, and enterprise systems.
Over the course of 40 years, he has written or edited twenty books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D from Harvard University and has taught at the Harvard Business School, the University of Chicago, and the University of Texas at Austin.
https://bit.ly/30k3DKm
💡XGBoost vs LightGBM: How Are They Different
XGBoost and LightGBM are two of the most popular algorithms that are based on Gradient Boosted Machines. Let's find out how different they are, with pros and cons for each.
https://bit.ly/31WurRx
XGBoost and LightGBM are two of the most popular algorithms that are based on Gradient Boosted Machines. Let's find out how different they are, with pros and cons for each.
https://bit.ly/31WurRx
neptune.ai
XGBoost vs LightGBM: How Are They Different
Gradient Boosted Machines and their variants offered by multiple communities have gained a lot of traction in recent years. This has been primarily due to the improvement in performance offered by decision trees as compared to other machine learning algorithms…
📚EditGAN: High-Precision Semantic Image Editing
In this paper, Huan Ling et al. present EditGAN, the first GAN-driven image editing framework that outperforms previous editing methods on standard editing benchmark tasks.
https://bit.ly/3s4OI2g
In this paper, Huan Ling et al. present EditGAN, the first GAN-driven image editing framework that outperforms previous editing methods on standard editing benchmark tasks.
https://bit.ly/3s4OI2g
💡Text-based Causal Inference
In this tutorial, you'll learn about a new method of analyzing voter fraud disinformation by estimating causal effect with text as treatment and confounder.
https://bit.ly/3EZm6ee
In this tutorial, you'll learn about a new method of analyzing voter fraud disinformation by estimating causal effect with text as treatment and confounder.
https://bit.ly/3EZm6ee
Medium
Text-based Causal Inference
Tutorial on analyzing voter fraud disinformation by estimating causal effect with text as treatment and confounder
📚Adobe Research at ICCV 2021
This page features a set of 45 papers, including 5 oral papers, 34 posters, and 6 workshop papers presented by Adobe at IEEE Computer Society International Conference on Computer Vision.
https://adobe.ly/3F0UW6V
This page features a set of 45 papers, including 5 oral papers, 34 posters, and 6 workshop papers presented by Adobe at IEEE Computer Society International Conference on Computer Vision.
https://adobe.ly/3F0UW6V
Adobe Research
Adobe Research at ICCV 2021
Adobe actively participates in the IEEE Computer Society International Conference on Computer Vision (ICCV) each year. At this year's conference, taking place from October 11-17, Adobe is presenting new work in the area of computer vision. Check out the full…
⚡️Hello everyone, it's Data Phoenix speaking!
We hope that your week is going well so far. Our team wants to remind you about our weekly newsletter which is coming, as always, tomorrow! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3IXSXm3
We hope that your week is going well so far. Our team wants to remind you about our weekly newsletter which is coming, as always, tomorrow! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3IXSXm3
Data Phoenix
Data Phoenix is your best friend in learning and growing in the data world! We publish digest, organize events and help expand the frontiers of your knowledge in ML, CV, NLP, and other aspects of AI.
📌Get Started: DCGAN for Fashion-MNIST
This tutorial will guide you through the implementation of a Deep Convolutional GAN (DCGAN) with TensorFlow 2 / Keras. It's based on a classic GAN paper.
https://bit.ly/33rQQXo
This tutorial will guide you through the implementation of a Deep Convolutional GAN (DCGAN) with TensorFlow 2 / Keras. It's based on a classic GAN paper.
https://bit.ly/33rQQXo
PyImageSearch
Get Started: DCGAN for Fashion-MNIST - PyImageSearch
Get started learning GANs by implementing a DCGAN with TensorFlow 2 / Keras to generate Fashion-MNIST like gray-scale images.
💥Hello everyone! Data Phoenix Speaking!
We are ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3p3TPOc
We are ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3p3TPOc
Data Phoenix
Data Phoenix Digest - ISSUE 36
Data Phoenix team looking for speakers, MLCommons presents free and open-source datasets for speech recognition, accelerating inference up to 6x, document understanding transformer without OCR, GradInit, NÜWA, videos, jobs, and more ...
⚡️Hello everyone!
We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) Senior Data Scientist - Finance Data - Coinbase (Remote - USA)
https://bit.ly/3F9CZTK
2) Senior Software Engineer - Data Pipeline - GitHub (Remote - USA)
https://bit.ly/3mhpDNL
3) Machine Learning Engineer - Cloudflare (Remote - USA)
https://bit.ly/3shnqpd
4) Principal Data Scientist - Intercom (Remote in Ireland or the UK)
https://bit.ly/32k5dg8
5) Cloud Data Engineer - Rackspace (Remote - USA)
https://bit.ly/3E9zCdY
📌Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive!
We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) Senior Data Scientist - Finance Data - Coinbase (Remote - USA)
https://bit.ly/3F9CZTK
2) Senior Software Engineer - Data Pipeline - GitHub (Remote - USA)
https://bit.ly/3mhpDNL
3) Machine Learning Engineer - Cloudflare (Remote - USA)
https://bit.ly/3shnqpd
4) Principal Data Scientist - Intercom (Remote in Ireland or the UK)
https://bit.ly/32k5dg8
5) Cloud Data Engineer - Rackspace (Remote - USA)
https://bit.ly/3E9zCdY
📌Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive!
📌Learning Rates for Deep Learning Models
How can you make your deep learning models as effective as possible? In this article, you'll learn about the effects of a learning rate on the convergence and performance of DL models.
https://bit.ly/3e3Q1WV
How can you make your deep learning models as effective as possible? In this article, you'll learn about the effects of a learning rate on the convergence and performance of DL models.
https://bit.ly/3e3Q1WV
Medium
Learning Rates for Deep Learning Models
How to make good models great through optimization
🔥Hello friends!
We hope your Sunday is going great and you are ready for the upcoming week! But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3yMTe6L
We hope your Sunday is going great and you are ready for the upcoming week! But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3yMTe6L
